Theoretical Study On Wide Area Source And Load Interactive Scheduling Mode Of New Enetgy Power System

With the rapid development of the national economy, and the growing pressure due to the exhaustion of fossil fuel and the deteriorating ecological environment, technological revolutions have gradually hit the production and utilization pattern of electric power, which is the main energy supply resource of the world. In the generation side, fossil energy generation units with larger capacity and lower emission are welcomed, leaving a number of small units with high emission and high energy-consumption being eliminated. Renewable energy such as wind power generation and photovoltaic generation has witnessed a rapid growth in penetration scale. In the demand side, changes in electric utility structure lead to swift growths in peak load and peak-valley difference. Furthermore, with the development of electric vehicles (EV) and distributed generation (DG), a new concept of source-contained load appears. And as the extension of smart meter, the consumers, which can be seen as active load nodes of wide area and large amount, are playing a more and more important role in system operation by means of advanced metering infrastructure(AMI), instead of a simple non-elastic load, and thus realize the interaction with the grid. According to the increasing complexity of grid operation characteristics, the dispatching mode should make changes accordingly to meet the demand of the transition from the conventional power grid to new energy power system.A new dispatch philosophy named Wide-Area Source and Load Interactive Scheduling mode (WASLIS) is proposed in this paper, the method of which involves the construction of a complete methodological system by means of basic research, core research and patulous research. The source and load interaction mode is employed to achieve a safe, economical, low carbon and environmental-friendly goal, which could promote the operation quality of new energy power system. Further studies are organized as follows.In charpter3, a mode called virtual power plant (VPP) is studied in order to manage the large amount of demand side resources, and a chance constrained model to improve wind power usage is founded based on real time price (RTP) demand reponse (DR). Firstly, the concept and characteristics of VPP are introduced and moreover a self-organized management mode is presented. Secondly, based on the stochastic model of wind power output, a random chance constrained model is founded to decide RTP scheme improving wind power usage, which both cross-elastic and self-elastic coefficients of electricity price elasticity are considered. To solve the proposed chance constrained model, a stochastic simulation based particle swarm algorithm is employed. The research showed that according to price-based DR, VPP could achieve the purpose of demand side resource management and improving the ability of wind power usage of power system.In charpter4, a day-ahead generation scheduling scheme is presented by means of WASLIS for power system wind farm integrated. An interaction mechanism of demand side participating in day-ahead generation scheduling is introduced, moreover a security constrainted unit commitment (SCUC) model and its algorithm are presented for source and load interaction. Considering wind power priority scheduled, the SCUC target function is minimizing both generation cost of conventional power unit and DR implemented cost. Meanwhile constraint conditions include system constraints, unit constraints, demand side special constraints and static security constraint. A mixed integer linear programming (MILP) model is developed to desribe the proposed SCUC problem, which can be solved by CPLEX. Simulation on examples verifies the validity of the proposed model and algorithm, which can be used to solve the large-scale power system SCUC problem.In charpter5, both fuzzy chance constrained dispatch model and solution in power system contained wind farm are researched under WASLIS mode. Based on credibility theory, the credibility distribution function model of wind power forecast errors is established and then the fuzzy chance constraints are founded. The fuzzy credibility indexes are defined due to different problem, employed to describe the fuzzy chance decision models of static economic dispatch, dynamic economic dispatch and the SCUC. The fuzzy chance constraints are turned into their equivalent forms, and the parameters are proposed to change the chance constraints into traditional constraints, so the deterministic model can be used for fast solution. It is shown that the fuzzy chance constrained dispatch model can describe the impact of fuzziness of wind power forecast errors on the distribution, and the decision result can reach the balance of economic and risk (or reliability).In charpter6, The WASLIS is studied for energy saving and emission reduction. Firstly, based on different carbon emission regulations, the economic dispatch considering carbon constraint, low-carbon dispatch considering cost constraint and coordinated dispatch of power generation and carbon emission permit are proposed, furthermore MILP model is separately established. And then, a bid-scheduling model of demand side reserve (DSR) is proposed considering the future carbon emission trading. The process of future power transmission is also carbon flow, and based on this point of view, the DSR trading principle based on carbon trading is researched, in which the carbon trading is treaded as DSR opportunity cost for energy saving and emission reduction. The trading model and dispatch model of DSR are formed based on different dispatch and emission properties of demand side resource. The analysis of the example proves the effectiveness of the pattern and the model, and WASLIS can bring good benefit on all aspects of economical efficiency, energy saving, emission reduction and safety.