Research On The Theory Of Power System Planning In A Deregulated Market

Power industry is characterized with capital intensive therefore the planningplays an important role in power system development. The separation betweengeneration sector and transmission sector raises lots of new problems that should besolved, e.g. how to deploy efficient planning, to ensure the sufficient generationcapacity and transmission capacity to satisfy the future increasing load demands, aswell as to allocate efficiently the limited energy resources and investment in powersystem, etc. Those problems should be studied with great attention in future. Theanalysis of the potential benefits from market competition shows that competitionbetween the new entrants can bring more benefits than the competition betweenexisting generation assets. Thus, new theory and methodology should be studied andproposed to bring in the competition in power system expansion planning.Based on the market mechanism, a new power system planning mechanismcomposed of coordinated multiple steps is proposed in this dissertation. This newmechanism tries to coordinate the conflicts between the decentralized decisionmaking and the global optimization, to define explicitly the responsibilities, rights ofgeneration companies, grid companies and governments. The main goals of theproposed planning mechanism is to execute the power system planning from theaspects of optimal allocation of power resources, so that to ensure the sufficientinstallation capacity in deregulated power industry.This dissertation proposes a new optimization model for centralized industryplanning. This new model solves the horizon-related problem in the optimalmulti-years investment decision. The power system investment decision can beoptimized from the aspects of optimal allocation of social resources, as well as takinginto consideration of the constraints of energy resources, fuel types and environmentrestrictions. A quasi-dynamic optimization algorithm is proposed based on theanalysis of the characteristics of power system investment and its mathematic model.This algorithm can solve this high-dimension, large scale and integer-mixed optimalproblem with high efficiency.A competitive generation expansion market with detailed competitionmechanism is also presented in this dissertation. The competition results forming inthis market can provide the long-term stable incentive to investment in generationsector and can serve as the scientific and precise economical signal to instruct theallocation and development procedure of generation plants. The competition in thismarket can also lower the installation costs of generation capacity, incite the positiveimpacts of market in efficient allocation of generation resources, and reduce theoscillation of the relation between electricity supply and demand. The application ofthe linkage between electricity price and fuel price as well as financial contracts in theproposed market can provide efficient hedge to power investor, whose efficiency isproved from the economic viewpoints.This dissertation also establishes an evaluation system for power systemexpansion planning, which can provide visual evaluation results and more directjudgment criteria. Besides of supplementing the traditional judgment criteria, furthernew criteria is reinforced to construct an integrated method to evaluate the expansionplan more explicitly, scientifically and visually, which is valuable of improving theoptimal efficiency of expansion plans.The dissertation proposes systematic the new mechanism, correspondingmathematic models, algorithms and evaluation criteria system for power systemexpansion planning in deregulated environment, which are all of great value topromoting the reform of Chinese power system.