$200m Demand Management Program Approved in NYC to Defer $1 billion SubStation to 2026

The NYPSC approved Con Ed of New York’s proposed $200 million Brooklyn/Queens Demand Management Program that would relieve overloads in the city.

Source: www.rtoinsider.com

>” […] Con Ed’s proposed Brooklyn/Queens Demand Management Program is consistent with the state’s “Reforming the Energy Vision” program to restructure the electricity market with greater reliance on technology and distributed resources, the commission said. “The commission is making a significant step forward toward a regulatory paradigm where utilities incorporate alternatives to traditional infrastructure investment when considering how to meet their planning and reliability needs,” the order states.

Commission Chair Audrey Zibelman added that because of the recent D.C. Circuit Court of Appeals decision striking down federal jurisdiction over demand response in wholesale markets, it’s important for state regulators to set market rules for that resource.

Con Ed said the feeders serving the Brownsville No. 1 and 2 substations began to experience overloads in 2013 and would be overloaded by 69 MW for 40 to 48 hours during the summer by 2018. A new substation, transmission subfeeders and a switching station would cost $1 billion, according to the company. The PSC accepted the company’s estimate of the DM Program’s costs and ordered a cap of $200 million.

The program would include 52 MW of non-traditional utility-side and customer-side relief, including about 41 MW of energy efficiency, demand management and distributed generation, and 11 MW of utility-side battery energy storage. This will include incentives to upgrade building “envelopes,” improve air conditioning efficiency of equipment, encourage greater use of energy controls, and establish energy storage, distributed generation or microgrids.

This will be supplemented by approximately 17 MW of traditional utility infrastructure investment, consisting of 6 MW of capacitors and 11 MW of load transfers from the affected area to other networks.  […]”<

 

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