中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
19期
3141-3147
,共7页
黎灿兵%刘文灿%曹一家%周金菊%李利娟%何丽娜
黎燦兵%劉文燦%曹一傢%週金菊%李利娟%何麗娜
려찬병%류문찬%조일가%주금국%리리연%하려나
分布式发电%电力政策%政策参数%电力企业%管制电力市场
分佈式髮電%電力政策%政策參數%電力企業%管製電力市場
분포식발전%전력정책%정책삼수%전력기업%관제전력시장
distributed generations (DGs)%power policy%policy parameters%power utility%regulated electricity market
可再生、清洁能源分布式发电(distributed generations, DGs),是能源、环境可持续发展的重要途径之一。在管制的电力市场中,用户自建分布式能源会影响自然垄断的电网企业的利益。中国国家电网公司已经开放DG并网,为此,需对DG并网后的计量、计费、管理政策等进行深入研究,提出一种适应管制电力市场的电能虚拟存储政策模型来推行电能虚拟存储政策。该模型应能确保用户自建分布式能源对电力企业利益的影响在其可接受范围之内,而且能够最大程度激励用户自建分布式能源。然后通过对该政策模型的参数优化确定了最优模型参数和所有用户自建分布式能源的容量。为促进该项政策的实施,在不同的阶段,通过提高允许的政策参数,逐步提升对用户自建分布式能源的激励力度。最后通过算例验证了所提模型的适应性和有效性。
可再生、清潔能源分佈式髮電(distributed generations, DGs),是能源、環境可持續髮展的重要途徑之一。在管製的電力市場中,用戶自建分佈式能源會影響自然壟斷的電網企業的利益。中國國傢電網公司已經開放DG併網,為此,需對DG併網後的計量、計費、管理政策等進行深入研究,提齣一種適應管製電力市場的電能虛擬存儲政策模型來推行電能虛擬存儲政策。該模型應能確保用戶自建分佈式能源對電力企業利益的影響在其可接受範圍之內,而且能夠最大程度激勵用戶自建分佈式能源。然後通過對該政策模型的參數優化確定瞭最優模型參數和所有用戶自建分佈式能源的容量。為促進該項政策的實施,在不同的階段,通過提高允許的政策參數,逐步提升對用戶自建分佈式能源的激勵力度。最後通過算例驗證瞭所提模型的適應性和有效性。
가재생、청길능원분포식발전(distributed generations, DGs),시능원、배경가지속발전적중요도경지일。재관제적전력시장중,용호자건분포식능원회영향자연롱단적전망기업적이익。중국국가전망공사이경개방DG병망,위차,수대DG병망후적계량、계비、관리정책등진행심입연구,제출일충괄응관제전력시장적전능허의존저정책모형래추행전능허의존저정책。해모형응능학보용호자건분포식능원대전력기업이익적영향재기가접수범위지내,이차능구최대정도격려용호자건분포식능원。연후통과대해정책모형적삼수우화학정료최우모형삼수화소유용호자건분포식능원적용량。위촉진해항정책적실시,재불동적계단,통과제고윤허적정책삼수,축보제승대용호자건분포식능원적격려력도。최후통과산례험증료소제모형적괄응성화유효성。
The application of renewable and clean distributed generations (DGs) is one of the important measures taken to solve the problem of energy shortage and environment pollution. In regulated electricity market, the integration of consumers’ self-built DGs may harm the interests of the power utilities under present policies. The State Grid Corporation of China has claimed that it will try its best to accommodate the integration of DGs. In order to realize the objective, further research about measurement, accounting and management policy is still needed. In this paper, electrical power virtual storage policy model was proposed to promote the policy in regulated electricity market. The model can ensure the influence resulting from self-built DGs is within the agreed scope and encourage consumers to build DGs as more as possible. Then the optimal policy parameters and the total capacity of all the consumers’ self-built DGs were determined by parameter optimization in the policy model. To implement the policies, the incentive strength on consumers’ self-built DGs is promoted by improving the allowed policy parameters at different stages. The case study shows that the proposed model is adaptable and effective.